Data Scientist - Machine Data / Senior

Job description

As a Data Scientist in AskLytics data analytics team, you will be part of developing new features from conception through deployment. You will have the opportunity to take ownership and apply your knowledge of statistics and analytical skills to understand system behavior, develop models to solve use cases that provide customer value. You will support feature prototyping, and utilize industry best practices to write production-grade code. You will build data pipelines, implement algorithms, and work closely with our Chief Data Scientist and software engineering team to deliver the next-generation predictive and prescriptive analytics products.

Specific Job duties include:

• Understand and gain domain knowledge in computing systems, deployments and their management
• Understand customer needs and use cases. Collaborate in use case development
• Translate use case/requirements to mathematical problem definitions
• Developing statistical models and algorithms that solve the problem definition
• Implementing/modifying data pipelines and algorithms that analyze machine data
• Processing and analyzing collected systems data
• Prototyping and validating models & algorithms that is actionable and solve use cases
• Setting up and maintaining databases to support analytics and prototyping
• Writing comprehensive tests and production grade code in data-oriented languages
• Setting up systems and applications to generate data and understand their behavior
• Ensuring that data pipelines and algorithms are functioning effectively in production and provide support to devops as necessary.

Requirements

Main Requirements

• An advanced degree (M.S. or PhD) in physics, computer science, applied mathematics, or a comparable analytical field from an accredited institution / reputed university
• Strong entrepreneurial mindset, comfortable to work independentlyDesire to work with machine data (time series, categorical data, ...)
• Very good written and spoken communication in English (both written and verbal; polish NOT a requirement; ability to speak in Russian is a plus (but not required)
• Ability to use collaborative tools such as slack, jira, ...
• 3+ years experience or demonstrate fluency in data-oriented language (such as MATLAB, R, julia etc) and at least one other programming language (C++, java)
• Expertise in statistical data analysis, algorithm development, machine learning including regression models, clustering, classification, dimensionality reduction, anomaly detection, probability/statistical distributions, & unsupervised learning.
• 2+ years experience writing SQL-like queries
• Work with large amounts of time series as well as structured & unstructured data.
• Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, revision control)
• Work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals,

Good to Have

• Ability to design experiments, setup systems, and collecting data
• Understanding error propagation and limitations of data subject to measurement uncertainties.
• Experience setting up and using large-scale data-processing frameworks such as Spark, hadoop, etc
• having an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value

We offer

This is an opportunity to be part of an early stage startup based inUS Silicon Valley.

Location: remote / work from home.

Pay Range: Based on your location and depends on your experience. We offer stock options for the right candidates so have ownership and feel part of the company's success